Overview

Dataset statistics

Number of variables25
Number of observations144
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.3 KiB
Average record size in memory236.9 B

Variable types

Numeric25

Alerts

Total_Population is highly overall correlated with Population_per_Households and 12 other fieldsHigh correlation
Population_per_Households is highly overall correlated with Total_Population and 12 other fieldsHigh correlation
Male_Population is highly overall correlated with Total_Population and 12 other fieldsHigh correlation
Female_Population is highly overall correlated with Total_Population and 12 other fieldsHigh correlation
Male_Female_Ratio is highly overall correlated with Total_Population and 10 other fieldsHigh correlation
Population_aging_Ratio is highly overall correlated with Total_Population and 12 other fieldsHigh correlation
Power_usage is highly overall correlated with Average_Temp and 2 other fieldsHigh correlation
Num_of_Business is highly overall correlated with Total_Population and 10 other fieldsHigh correlation
Business_above_100 is highly overall correlated with Total_Population and 10 other fieldsHigh correlation
complex_area is highly overall correlated with annual_household_income and 2 other fieldsHigh correlation
annual_household_income is highly overall correlated with Total_Population and 10 other fieldsHigh correlation
High_School_Graduate_num is highly overall correlated with Total_Population and 11 other fieldsHigh correlation
High_School_Graduate_ratio is highly overall correlated with Total_Population and 9 other fieldsHigh correlation
personal_expense is highly overall correlated with Total_Population and 12 other fieldsHigh correlation
benefits_vs_personal_expense is highly overall correlated with Num_of_Business and 2 other fieldsHigh correlation
employment_ratio is highly overall correlated with Total_Population and 12 other fieldsHigh correlation
employment_insurance_ratio is highly overall correlated with Total_Population and 12 other fieldsHigh correlation
Average_Temp is highly overall correlated with Power_usage and 4 other fieldsHigh correlation
Monthly_Rainfall is highly overall correlated with Average_Temp and 3 other fieldsHigh correlation
Average_Relative_Humadity is highly overall correlated with Average_Temp and 3 other fieldsHigh correlation
Ground_Temp is highly overall correlated with Power_usage and 4 other fieldsHigh correlation
Average_Pressure is highly overall correlated with Power_usage and 4 other fieldsHigh correlation
water_supply has unique valuesUnique
Total_Population has unique valuesUnique
Population_per_Households has unique valuesUnique
Female_Population has unique valuesUnique
Male_Female_Ratio has unique valuesUnique
Power_usage has unique valuesUnique
employment_insurance_ratio has unique valuesUnique

Reproduction

Analysis started2023-09-01 01:55:37.727599
Analysis finished2023-09-01 01:56:23.507914
Duration45.78 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

water_supply
Real number (ℝ)

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19709.922
Minimum15192.867
Maximum24706.258
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:56:23.556178image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum15192.867
5-th percentile16986.271
Q118331.325
median19623.233
Q320878.672
95-th percentile22714.47
Maximum24706.258
Range9513.3914
Interquartile range (IQR)2547.3467

Descriptive statistics

Standard deviation1849.6837
Coefficient of variation (CV)0.093845305
Kurtosis-0.15913849
Mean19709.922
Median Absolute Deviation (MAD)1297.3067
Skewness0.25913007
Sum2838228.8
Variance3421329.8
MonotonicityNot monotonic
2023-09-01T10:56:23.631257image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19069.09677 1
 
0.7%
19193.39286 1
 
0.7%
18179.23333 1
 
0.7%
18220.77419 1
 
0.7%
17353.93333 1
 
0.7%
17578.16129 1
 
0.7%
18315.12903 1
 
0.7%
20996.42857 1
 
0.7%
18509.70968 1
 
0.7%
18379.93333 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
15192.86667 1
0.7%
15983.87097 1
0.7%
16656.09677 1
0.7%
16664.6 1
0.7%
16789.2 1
0.7%
16794.93548 1
0.7%
16940.66667 1
0.7%
16982.32258 1
0.7%
17008.64286 1
0.7%
17037.70968 1
0.7%
ValueCountFrequency (%)
24706.25806 1
0.7%
24659.64516 1
0.7%
24376.19355 1
0.7%
23803.5 1
0.7%
23066.13333 1
0.7%
22918.6 1
0.7%
22892.32143 1
0.7%
22714.80645 1
0.7%
22712.56667 1
0.7%
22527.45161 1
0.7%

Total_Population
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56310.896
Minimum50745
Maximum60205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:56:23.704505image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum50745
5-th percentile51276.25
Q153890.5
median56882.5
Q358844.25
95-th percentile59894
Maximum60205
Range9460
Interquartile range (IQR)4953.75

Descriptive statistics

Standard deviation2875.2559
Coefficient of variation (CV)0.051060382
Kurtosis-1.123265
Mean56310.896
Median Absolute Deviation (MAD)2259.5
Skewness-0.40821669
Sum8108769
Variance8267096.3
MonotonicityNot monotonic
2023-09-01T10:56:23.776716image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59969 1
 
0.7%
59965 1
 
0.7%
55367 1
 
0.7%
55336 1
 
0.7%
55247 1
 
0.7%
55175 1
 
0.7%
55073 1
 
0.7%
54977 1
 
0.7%
54859 1
 
0.7%
54802 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
50745 1
0.7%
50798 1
0.7%
50884 1
0.7%
50968 1
0.7%
51036 1
0.7%
51072 1
0.7%
51153 1
0.7%
51274 1
0.7%
51289 1
0.7%
51361 1
0.7%
ValueCountFrequency (%)
60205 1
0.7%
60152 1
0.7%
60085 1
0.7%
59995 1
0.7%
59969 1
0.7%
59965 1
0.7%
59905 1
0.7%
59900 1
0.7%
59860 1
0.7%
59848 1
0.7%

Households
Real number (ℝ)

Distinct109
Distinct (%)75.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26575.736
Minimum26137
Maximum26794
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:56:23.850133image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum26137
5-th percentile26259.3
Q126542.5
median26607.5
Q326662.25
95-th percentile26727.4
Maximum26794
Range657
Interquartile range (IQR)119.75

Descriptive statistics

Standard deviation131.56168
Coefficient of variation (CV)0.0049504435
Kurtosis1.8400459
Mean26575.736
Median Absolute Deviation (MAD)56.5
Skewness-1.3601185
Sum3826906
Variance17308.475
MonotonicityNot monotonic
2023-09-01T10:56:23.924263image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26605 5
 
3.5%
26619 4
 
2.8%
26612 3
 
2.1%
26584 3
 
2.1%
26582 3
 
2.1%
26628 3
 
2.1%
26633 2
 
1.4%
26606 2
 
1.4%
26587 2
 
1.4%
26583 2
 
1.4%
Other values (99) 115
79.9%
ValueCountFrequency (%)
26137 1
0.7%
26159 1
0.7%
26186 1
0.7%
26194 1
0.7%
26209 1
0.7%
26250 1
0.7%
26252 1
0.7%
26259 1
0.7%
26261 1
0.7%
26375 1
0.7%
ValueCountFrequency (%)
26794 1
0.7%
26789 1
0.7%
26781 1
0.7%
26755 2
1.4%
26753 1
0.7%
26735 1
0.7%
26728 1
0.7%
26724 1
0.7%
26720 1
0.7%
26712 1
0.7%

Population_per_Households
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.118957
Minimum1.9044134
Maximum2.2944102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:56:24.004113image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1.9044134
5-th percentile1.9211837
Q12.0389702
median2.136951
Q32.2129383
95-th percentile2.2759751
Maximum2.2944102
Range0.3899968
Interquartile range (IQR)0.17396811

Descriptive statistics

Standard deviation0.10913742
Coefficient of variation (CV)0.051505254
Kurtosis-0.92439687
Mean2.118957
Median Absolute Deviation (MAD)0.083596849
Skewness-0.38045437
Sum305.12981
Variance0.011910976
MonotonicityNot monotonic
2023-09-01T10:56:24.088210image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.294410223 1
 
0.7%
2.292327688 1
 
0.7%
2.082170659 1
 
0.7%
2.082414481 1
 
0.7%
2.07992621 1
 
0.7%
2.078624171 1
 
0.7%
2.075406994 1
 
0.7%
2.072414053 1
 
0.7%
2.067186676 1
 
0.7%
2.063172954 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
1.90441342 1
0.7%
1.907482381 1
0.7%
1.907619513 1
0.7%
1.91120444 1
0.7%
1.913969623 1
0.7%
1.915463376 1
0.7%
1.91857325 1
0.7%
1.920374532 1
0.7%
1.925768783 1
0.7%
1.928291463 1
0.7%
ValueCountFrequency (%)
2.294410223 1
0.7%
2.292327688 1
0.7%
2.286974116 1
0.7%
2.284846865 1
0.7%
2.283490404 1
0.7%
2.280380952 1
0.7%
2.278645437 1
0.7%
2.276189026 1
0.7%
2.274762938 1
0.7%
2.250233601 1
0.7%

Male_Population
Real number (ℝ)

Distinct140
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27754.104
Minimum25078
Maximum29699
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:56:24.167060image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum25078
5-th percentile25321.3
Q126607
median28019
Q329002
95-th percentile29516
Maximum29699
Range4621
Interquartile range (IQR)2395

Descriptive statistics

Standard deviation1382.6973
Coefficient of variation (CV)0.049819561
Kurtosis-1.1115967
Mean27754.104
Median Absolute Deviation (MAD)1088.5
Skewness-0.37479922
Sum3996591
Variance1911851.8
MonotonicityNot monotonic
2023-09-01T10:56:24.243118image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29606 2
 
1.4%
27775 2
 
1.4%
29516 2
 
1.4%
29413 2
 
1.4%
26975 1
 
0.7%
27176 1
 
0.7%
27145 1
 
0.7%
27099 1
 
0.7%
27055 1
 
0.7%
27009 1
 
0.7%
Other values (130) 130
90.3%
ValueCountFrequency (%)
25078 1
0.7%
25081 1
0.7%
25136 1
0.7%
25168 1
0.7%
25203 1
0.7%
25223 1
0.7%
25270 1
0.7%
25321 1
0.7%
25323 1
0.7%
25385 1
0.7%
ValueCountFrequency (%)
29699 1
0.7%
29644 1
0.7%
29606 2
1.4%
29599 1
0.7%
29551 1
0.7%
29544 1
0.7%
29516 2
1.4%
29503 1
0.7%
29501 1
0.7%
29478 1
0.7%

Female_Population
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28556.792
Minimum25664
Maximum30508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:56:24.314842image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum25664
5-th percentile25954.95
Q127283.5
median28862.5
Q329842.25
95-th percentile30352.95
Maximum30508
Range4844
Interquartile range (IQR)2558.75

Descriptive statistics

Standard deviation1493.3865
Coefficient of variation (CV)0.052295318
Kurtosis-1.13169
Mean28556.792
Median Absolute Deviation (MAD)1171
Skewness-0.43804878
Sum4112178
Variance2230203.2
MonotonicityNot monotonic
2023-09-01T10:56:24.389381image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30363 1
 
0.7%
30366 1
 
0.7%
28103 1
 
0.7%
28093 1
 
0.7%
28045 1
 
0.7%
27999 1
 
0.7%
27928 1
 
0.7%
27878 1
 
0.7%
27804 1
 
0.7%
27793 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
25664 1
0.7%
25720 1
0.7%
25748 1
0.7%
25800 1
0.7%
25833 1
0.7%
25849 1
0.7%
25883 1
0.7%
25953 1
0.7%
25966 1
0.7%
25976 1
0.7%
ValueCountFrequency (%)
30508 1
0.7%
30506 1
0.7%
30479 1
0.7%
30451 1
0.7%
30384 1
0.7%
30366 1
0.7%
30363 1
0.7%
30354 1
0.7%
30347 1
0.7%
30344 1
0.7%

Male_Female_Ratio
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.97202558
Minimum0.96686262
Maximum0.97937909
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:56:24.463726image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.96686262
5-th percentile0.96792107
Q10.9692801
median0.97091941
Q30.97504625
95-th percentile0.97874245
Maximum0.97937909
Range0.012516468
Interquartile range (IQR)0.0057661456

Descriptive statistics

Standard deviation0.0035040941
Coefficient of variation (CV)0.0036049402
Kurtosis-0.82329658
Mean0.97202558
Median Absolute Deviation (MAD)0.0021308488
Skewness0.67889798
Sum139.97168
Variance1.2278676 × 10-5
MonotonicityNot monotonic
2023-09-01T10:56:24.543555image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9750683398 1
 
0.7%
0.9747414872 1
 
0.7%
0.9701455361 1
 
0.7%
0.9697433524 1
 
0.7%
0.969941166 1
 
0.7%
0.9706060931 1
 
0.7%
0.9719636207 1
 
0.7%
0.972056819 1
 
0.7%
0.97306143 1
 
0.7%
0.9717914583 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
0.9668626216 1
0.7%
0.9668888109 1
0.7%
0.9671969936 1
0.7%
0.967799465 1
0.7%
0.9678104355 1
0.7%
0.9678643307 1
0.7%
0.9679065348 1
0.7%
0.967907192 1
0.7%
0.9679997291 1
0.7%
0.9682078903 1
0.7%
ValueCountFrequency (%)
0.9793790899 1
0.7%
0.9791129644 1
0.7%
0.979104366 1
0.7%
0.9790188905 1
0.7%
0.9789685096 1
0.7%
0.9789532501 1
0.7%
0.9787532192 1
0.7%
0.9787496726 1
0.7%
0.9787015164 1
0.7%
0.9784412506 1
0.7%

Population_aging_Ratio
Real number (ℝ)

Distinct99
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.069444
Minimum26.1
Maximum38.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:56:24.619426image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum26.1
5-th percentile26.4
Q128.075
median30.7
Q333.525
95-th percentile37.385
Maximum38.1
Range12
Interquartile range (IQR)5.45

Descriptive statistics

Standard deviation3.4925351
Coefficient of variation (CV)0.11241061
Kurtosis-0.94751889
Mean31.069444
Median Absolute Deviation (MAD)2.75
Skewness0.34383195
Sum4474
Variance12.197801
MonotonicityNot monotonic
2023-09-01T10:56:24.698009image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.5 7
 
4.9%
26.4 6
 
4.2%
30.7 4
 
2.8%
32.5 3
 
2.1%
31 3
 
2.1%
31.2 3
 
2.1%
32.1 3
 
2.1%
31.9 2
 
1.4%
29.4 2
 
1.4%
29.6 2
 
1.4%
Other values (89) 109
75.7%
ValueCountFrequency (%)
26.1 2
 
1.4%
26.2 1
 
0.7%
26.3 2
 
1.4%
26.4 6
4.2%
26.5 7
4.9%
26.6 1
 
0.7%
26.7 2
 
1.4%
26.8 2
 
1.4%
26.9 1
 
0.7%
27 1
 
0.7%
ValueCountFrequency (%)
38.1 1
0.7%
38 1
0.7%
37.9 1
0.7%
37.8 1
0.7%
37.6 2
1.4%
37.5 1
0.7%
37.4 1
0.7%
37.3 1
0.7%
37.2 1
0.7%
36.9 1
0.7%

Power_usage
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95852185
Minimum-319000
Maximum1.33114 × 108
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.7%
Memory size6.3 KiB
2023-09-01T10:56:24.775830image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum-319000
5-th percentile75729266
Q183248190
median90221000
Q31.1308556 × 108
95-th percentile1.2283052 × 108
Maximum1.33114 × 108
Range1.33433 × 108
Interquartile range (IQR)29837375

Descriptive statistics

Standard deviation20036585
Coefficient of variation (CV)0.20903629
Kurtosis3.5066923
Mean95852185
Median Absolute Deviation (MAD)11816786
Skewness-0.9432193
Sum1.3802715 × 1010
Variance4.0146476 × 1014
MonotonicityNot monotonic
2023-09-01T10:56:24.859177image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
112686000 1
 
0.7%
103792000 1
 
0.7%
75833319 1
 
0.7%
74684591 1
 
0.7%
97947510 1
 
0.7%
110606198 1
 
0.7%
116966991 1
 
0.7%
114630883 1
 
0.7%
117067749 1
 
0.7%
102537135 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
-319000 1
0.7%
27499000 1
0.7%
30707000 1
0.7%
70334444 1
0.7%
71187782 1
0.7%
74443184 1
0.7%
74684591 1
0.7%
75710904 1
0.7%
75833319 1
0.7%
76443785 1
0.7%
ValueCountFrequency (%)
133114000 1
0.7%
129024475 1
0.7%
127816000 1
0.7%
126234184 1
0.7%
124712292 1
0.7%
123674046 1
0.7%
122999000 1
0.7%
122879673 1
0.7%
122552000 1
0.7%
122459046 1
0.7%

Num_of_Business
Real number (ℝ)

Distinct136
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2207.6319
Minimum1398
Maximum3144
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:56:24.936130image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1398
5-th percentile1543.35
Q11846.25
median2246.5
Q32564
95-th percentile2868.35
Maximum3144
Range1746
Interquartile range (IQR)717.75

Descriptive statistics

Standard deviation425.98975
Coefficient of variation (CV)0.19296231
Kurtosis-1.0615633
Mean2207.6319
Median Absolute Deviation (MAD)362
Skewness-0.056903392
Sum317899
Variance181467.27
MonotonicityNot monotonic
2023-09-01T10:56:25.008873image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2537 2
 
1.4%
2505 2
 
1.4%
2788 2
 
1.4%
2615 2
 
1.4%
2564 2
 
1.4%
1642 2
 
1.4%
2036 2
 
1.4%
2348 2
 
1.4%
2476 1
 
0.7%
2225 1
 
0.7%
Other values (126) 126
87.5%
ValueCountFrequency (%)
1398 1
0.7%
1409 1
0.7%
1455 1
0.7%
1466 1
0.7%
1468 1
0.7%
1474 1
0.7%
1538 1
0.7%
1542 1
0.7%
1551 1
0.7%
1584 1
0.7%
ValueCountFrequency (%)
3144 1
0.7%
2994 1
0.7%
2935 1
0.7%
2921 1
0.7%
2917 1
0.7%
2905 1
0.7%
2885 1
0.7%
2870 1
0.7%
2859 1
0.7%
2835 1
0.7%

Business_above_100
Real number (ℝ)

Distinct19
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.069444
Minimum13
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:56:25.074972image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile15
Q119
median23
Q325
95-th percentile29
Maximum31
Range18
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.23712
Coefficient of variation (CV)0.19199033
Kurtosis-0.85395513
Mean22.069444
Median Absolute Deviation (MAD)3
Skewness-0.036068538
Sum3178
Variance17.953186
MonotonicityNot monotonic
2023-09-01T10:56:25.136022image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
24 18
12.5%
19 15
10.4%
26 13
9.0%
25 12
 
8.3%
21 11
 
7.6%
23 11
 
7.6%
18 9
 
6.2%
15 9
 
6.2%
20 9
 
6.2%
27 6
 
4.2%
Other values (9) 31
21.5%
ValueCountFrequency (%)
13 1
 
0.7%
14 1
 
0.7%
15 9
6.2%
16 6
 
4.2%
17 6
 
4.2%
18 9
6.2%
19 15
10.4%
20 9
6.2%
21 11
7.6%
22 3
 
2.1%
ValueCountFrequency (%)
31 1
 
0.7%
30 5
 
3.5%
29 4
 
2.8%
28 4
 
2.8%
27 6
 
4.2%
26 13
9.0%
25 12
8.3%
24 18
12.5%
23 11
7.6%
22 3
 
2.1%

complex_area
Real number (ℝ)

Distinct13
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3726976.6
Minimum3540697
Maximum3757892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:56:25.200387image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum3540697
5-th percentile3725377
Q13728514
median3729552
Q33731852.5
95-th percentile3750150
Maximum3757892
Range217195
Interquartile range (IQR)3338.5

Descriptive statistics

Standard deviation36564.514
Coefficient of variation (CV)0.009810771
Kurtosis21.537205
Mean3726976.6
Median Absolute Deviation (MAD)1038
Skewness-4.6304132
Sum5.3668463 × 108
Variance1.3369637 × 109
MonotonicityNot monotonic
2023-09-01T10:56:25.255959image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3729552 39
27.1%
3728514 25
17.4%
3750150 23
16.0%
3725950 10
 
6.9%
3727516 9
 
6.2%
3729323 9
 
6.2%
3737602 6
 
4.2%
3729936 6
 
4.2%
3750265 6
 
4.2%
3540697 5
 
3.5%
Other values (3) 6
 
4.2%
ValueCountFrequency (%)
3540697 5
 
3.5%
3725052 1
 
0.7%
3725377 4
 
2.8%
3725950 10
 
6.9%
3727516 9
 
6.2%
3728514 25
17.4%
3729323 9
 
6.2%
3729552 39
27.1%
3729936 6
 
4.2%
3737602 6
 
4.2%
ValueCountFrequency (%)
3757892 1
 
0.7%
3750265 6
 
4.2%
3750150 23
16.0%
3737602 6
 
4.2%
3729936 6
 
4.2%
3729552 39
27.1%
3729323 9
 
6.2%
3728514 25
17.4%
3727516 9
 
6.2%
3725950 10
 
6.9%

annual_household_income
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean615.75
Minimum478
Maximum891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:56:25.312392image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum478
5-th percentile478
Q1523.5
median576.5
Q3640.75
95-th percentile891
Maximum891
Range413
Interquartile range (IQR)117.25

Descriptive statistics

Standard deviation126.69514
Coefficient of variation (CV)0.20575743
Kurtosis0.043304514
Mean615.75
Median Absolute Deviation (MAD)57.5
Skewness1.1045691
Sum88668
Variance16051.657
MonotonicityNot monotonic
2023-09-01T10:56:25.932156image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
510 12
8.3%
566 12
8.3%
587 12
8.3%
624 12
8.3%
478 12
8.3%
498 12
8.3%
528 12
8.3%
556 12
8.3%
618 12
8.3%
691 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
478 12
8.3%
498 12
8.3%
510 12
8.3%
528 12
8.3%
556 12
8.3%
566 12
8.3%
587 12
8.3%
618 12
8.3%
624 12
8.3%
691 12
8.3%
ValueCountFrequency (%)
891 12
8.3%
842 12
8.3%
691 12
8.3%
624 12
8.3%
618 12
8.3%
587 12
8.3%
566 12
8.3%
556 12
8.3%
528 12
8.3%
510 12
8.3%

High_School_Graduate_num
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean607.83333
Minimum426
Maximum680
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:56:25.987222image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum426
5-th percentile426
Q1578.5
median633
Q3667.25
95-th percentile680
Maximum680
Range254
Interquartile range (IQR)88.75

Descriptive statistics

Standard deviation76.598855
Coefficient of variation (CV)0.1260195
Kurtosis0.41314817
Mean607.83333
Median Absolute Deviation (MAD)36
Skewness-1.2204044
Sum87528
Variance5867.3846
MonotonicityNot monotonic
2023-09-01T10:56:26.045418image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
624 12
8.3%
610 12
8.3%
670 12
8.3%
665 12
8.3%
680 12
8.3%
668 12
8.3%
667 12
8.3%
642 12
8.3%
581 12
8.3%
571 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
426 12
8.3%
490 12
8.3%
571 12
8.3%
581 12
8.3%
610 12
8.3%
624 12
8.3%
642 12
8.3%
665 12
8.3%
667 12
8.3%
668 12
8.3%
ValueCountFrequency (%)
680 12
8.3%
670 12
8.3%
668 12
8.3%
667 12
8.3%
665 12
8.3%
642 12
8.3%
624 12
8.3%
610 12
8.3%
581 12
8.3%
571 12
8.3%
Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0902616
Minimum0.87896254
Maximum1.2467249
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:56:26.105594image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.87896254
5-th percentile0.87896254
Q11.033199
median1.1067536
Q31.144901
95-th percentile1.2467249
Maximum1.2467249
Range0.36776235
Interquartile range (IQR)0.11170195

Descriptive statistics

Standard deviation0.10621842
Coefficient of variation (CV)0.097424709
Kurtosis-0.59993948
Mean1.0902616
Median Absolute Deviation (MAD)0.063601166
Skewness-0.42775679
Sum156.99767
Variance0.011282352
MonotonicityNot monotonic
2023-09-01T10:56:26.164827image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.9674418605 12
8.3%
0.878962536 12
8.3%
1.05511811 12
8.3%
0.9595959596 12
8.3%
1.125827815 12
8.3%
1.104132231 12
8.3%
1.132427844 12
8.3%
1.182320442 12
8.3%
1.090056285 12
8.3%
1.246724891 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
0.878962536 12
8.3%
0.9595959596 12
8.3%
0.9674418605 12
8.3%
1.05511811 12
8.3%
1.090056285 12
8.3%
1.104132231 12
8.3%
1.109375 12
8.3%
1.125827815 12
8.3%
1.132427844 12
8.3%
1.182320442 12
8.3%
ValueCountFrequency (%)
1.246724891 12
8.3%
1.231155779 12
8.3%
1.182320442 12
8.3%
1.132427844 12
8.3%
1.125827815 12
8.3%
1.109375 12
8.3%
1.104132231 12
8.3%
1.090056285 12
8.3%
1.05511811 12
8.3%
0.9674418605 12
8.3%

personal_expense
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39291262
Minimum29425421
Maximum50352167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:56:26.227798image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum29425421
5-th percentile29425421
Q134916269
median39187141
Q344291558
95-th percentile50352167
Maximum50352167
Range20926746
Interquartile range (IQR)9375289.5

Descriptive statistics

Standard deviation6391034.7
Coefficient of variation (CV)0.16265792
Kurtosis-1.1011871
Mean39291262
Median Absolute Deviation (MAD)5308073
Skewness0.12325828
Sum5.6579417 × 109
Variance4.0845325 × 1013
MonotonicityNot monotonic
2023-09-01T10:56:26.283334image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
29425421 12
8.3%
31004122 12
8.3%
33099447 12
8.3%
35581571 12
8.3%
35521876 12
8.3%
38569143 12
8.3%
39805139 12
8.3%
41180313 12
8.3%
43715593 12
8.3%
46019454 12
8.3%
Other values (2) 24
16.7%
ValueCountFrequency (%)
29425421 12
8.3%
31004122 12
8.3%
33099447 12
8.3%
35521876 12
8.3%
35581571 12
8.3%
38569143 12
8.3%
39805139 12
8.3%
41180313 12
8.3%
43715593 12
8.3%
46019454 12
8.3%
ValueCountFrequency (%)
50352167 12
8.3%
47220892 12
8.3%
46019454 12
8.3%
43715593 12
8.3%
41180313 12
8.3%
39805139 12
8.3%
38569143 12
8.3%
35581571 12
8.3%
35521876 12
8.3%
33099447 12
8.3%
Distinct11
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.30833
Minimum91.2
Maximum134.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:56:26.341300image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum91.2
5-th percentile91.2
Q196.6
median116.3
Q3129.175
95-th percentile134.2
Maximum134.2
Range43
Interquartile range (IQR)32.575

Descriptive statistics

Standard deviation16.261265
Coefficient of variation (CV)0.14225791
Kurtosis-1.700361
Mean114.30833
Median Absolute Deviation (MAD)16.1
Skewness-0.13654488
Sum16460.4
Variance264.42874
MonotonicityNot monotonic
2023-09-01T10:56:26.396369image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
132.4 24
16.7%
96 12
8.3%
91.2 12
8.3%
94.6 12
8.3%
96.8 12
8.3%
127.2 12
8.3%
134.2 12
8.3%
128.1 12
8.3%
123.6 12
8.3%
106.2 12
8.3%
ValueCountFrequency (%)
91.2 12
8.3%
94.6 12
8.3%
96 12
8.3%
96.8 12
8.3%
106.2 12
8.3%
109 12
8.3%
123.6 12
8.3%
127.2 12
8.3%
128.1 12
8.3%
132.4 24
16.7%
ValueCountFrequency (%)
134.2 12
8.3%
132.4 24
16.7%
128.1 12
8.3%
127.2 12
8.3%
123.6 12
8.3%
109 12
8.3%
106.2 12
8.3%
96.8 12
8.3%
96 12
8.3%
94.6 12
8.3%

employment_ratio
Real number (ℝ)

Distinct138
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9676.6736
Minimum7305
Maximum12956
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:56:26.465313image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum7305
5-th percentile7959
Q18683.25
median9656.5
Q310228
95-th percentile12373.2
Maximum12956
Range5651
Interquartile range (IQR)1544.75

Descriptive statistics

Standard deviation1299.5229
Coefficient of variation (CV)0.13429438
Kurtosis-0.065926578
Mean9676.6736
Median Absolute Deviation (MAD)823.5
Skewness0.64832483
Sum1393441
Variance1688759.8
MonotonicityNot monotonic
2023-09-01T10:56:26.535619image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9839 2
 
1.4%
8117 2
 
1.4%
8170 2
 
1.4%
12435 2
 
1.4%
10182 2
 
1.4%
9133 2
 
1.4%
7305 1
 
0.7%
9734 1
 
0.7%
10054 1
 
0.7%
9941 1
 
0.7%
Other values (128) 128
88.9%
ValueCountFrequency (%)
7305 1
0.7%
7529 1
0.7%
7696 1
0.7%
7729 1
0.7%
7852 1
0.7%
7865 1
0.7%
7939 1
0.7%
7956 1
0.7%
7976 1
0.7%
7978 1
0.7%
ValueCountFrequency (%)
12956 1
0.7%
12727 1
0.7%
12677 1
0.7%
12665 1
0.7%
12509 1
0.7%
12435 2
1.4%
12381 1
0.7%
12329 1
0.7%
12323 1
0.7%
12201 1
0.7%

employment_insurance_ratio
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.17345885
Minimum0.12181294
Maximum0.25504941
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:56:26.610441image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.12181294
5-th percentile0.1325559
Q10.14774658
median0.16981595
Q30.19020193
95-th percentile0.24218238
Maximum0.25504941
Range0.13323647
Interquartile range (IQR)0.042455348

Descriptive statistics

Standard deviation0.032619728
Coefficient of variation (CV)0.18805456
Kurtosis-0.1634364
Mean0.17345885
Median Absolute Deviation (MAD)0.021777207
Skewness0.73669323
Sum24.978075
Variance0.0010640467
MonotonicityNot monotonic
2023-09-01T10:56:26.691150image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1218129367 1
 
0.7%
0.1255565747 1
 
0.7%
0.1801795293 1
 
0.7%
0.1796118259 1
 
0.7%
0.1819827321 1
 
0.7%
0.1801721794 1
 
0.7%
0.1729704211 1
 
0.7%
0.1764010404 1
 
0.7%
0.1774367014 1
 
0.7%
0.1788985803 1
 
0.7%
Other values (134) 134
93.1%
ValueCountFrequency (%)
0.1218129367 1
0.7%
0.1255565747 1
0.7%
0.1282773564 1
0.7%
0.1290317195 1
0.7%
0.1313592639 1
0.7%
0.1316692615 1
0.7%
0.1318661241 1
0.7%
0.1324124157 1
0.7%
0.1333689965 1
0.7%
0.1333801569 1
0.7%
ValueCountFrequency (%)
0.2550494114 1
0.7%
0.2501179153 1
0.7%
0.24872469 1
0.7%
0.2479832393 1
0.7%
0.245101497 1
0.7%
0.243984629 1
0.7%
0.2430942467 1
0.7%
0.2425205757 1
0.7%
0.240265944 1
0.7%
0.2400459493 1
0.7%

Average_Temp
Real number (ℝ)

Distinct119
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.109028
Minimum-4.5
Maximum27.7
Zeros1
Zeros (%)0.7%
Negative10
Negative (%)6.9%
Memory size6.3 KiB
2023-09-01T10:56:26.769923image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum-4.5
5-th percentile-0.455
Q14.075
median13.4
Q321.925
95-th percentile26.6
Maximum27.7
Range32.2
Interquartile range (IQR)17.85

Descriptive statistics

Standard deviation9.2580482
Coefficient of variation (CV)0.70623454
Kurtosis-1.341399
Mean13.109028
Median Absolute Deviation (MAD)8.6
Skewness-0.061117552
Sum1887.7
Variance85.711456
MonotonicityNot monotonic
2023-09-01T10:56:26.841528image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 3
 
2.1%
16.6 3
 
2.1%
22 3
 
2.1%
22.3 3
 
2.1%
21 2
 
1.4%
26.6 2
 
1.4%
9.6 2
 
1.4%
3.8 2
 
1.4%
17.7 2
 
1.4%
22.4 2
 
1.4%
Other values (109) 120
83.3%
ValueCountFrequency (%)
-4.5 1
0.7%
-1.8 2
1.4%
-1.6 1
0.7%
-1.5 1
0.7%
-1.1 1
0.7%
-0.7 1
0.7%
-0.5 1
0.7%
-0.2 1
0.7%
-0.1 1
0.7%
0 1
0.7%
ValueCountFrequency (%)
27.7 1
0.7%
27.3 2
1.4%
27.1 1
0.7%
26.9 2
1.4%
26.7 1
0.7%
26.6 2
1.4%
26.5 1
0.7%
26.3 1
0.7%
26 1
0.7%
25.8 1
0.7%

Monthly_Rainfall
Real number (ℝ)

Distinct140
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.21458
Minimum4.1
Maximum710.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:56:26.918596image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum4.1
5-th percentile10.06
Q133.45
median68.7
Q3120.8
95-th percentile325.565
Maximum710.1
Range706
Interquartile range (IQR)87.35

Descriptive statistics

Standard deviation118.62011
Coefficient of variation (CV)1.1274113
Kurtosis8.3084184
Mean105.21458
Median Absolute Deviation (MAD)40.3
Skewness2.6202543
Sum15150.9
Variance14070.73
MonotonicityNot monotonic
2023-09-01T10:56:26.991705image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37 2
 
1.4%
10.4 2
 
1.4%
37.4 2
 
1.4%
43.3 2
 
1.4%
19.1 1
 
0.7%
46.9 1
 
0.7%
27.4 1
 
0.7%
33.5 1
 
0.7%
96.3 1
 
0.7%
122 1
 
0.7%
Other values (130) 130
90.3%
ValueCountFrequency (%)
4.1 1
0.7%
6.7 1
0.7%
6.9 1
0.7%
8.5 1
0.7%
8.8 1
0.7%
8.9 1
0.7%
9.1 1
0.7%
10 1
0.7%
10.4 2
1.4%
11.8 1
0.7%
ValueCountFrequency (%)
710.1 1
0.7%
644.5 1
0.7%
520.6 1
0.7%
495.9 1
0.7%
446.2 1
0.7%
375.6 1
0.7%
362.3 1
0.7%
327.2 1
0.7%
316.3 1
0.7%
305.2 1
0.7%

Average_Relative_Humadity
Real number (ℝ)

Distinct30
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.604167
Minimum61
Maximum93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:56:27.063664image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum61
5-th percentile67
Q172
median78
Q382
95-th percentile89
Maximum93
Range32
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.7037394
Coefficient of variation (CV)0.086383756
Kurtosis-0.38091275
Mean77.604167
Median Absolute Deviation (MAD)5
Skewness0.055206455
Sum11175
Variance44.940122
MonotonicityNot monotonic
2023-09-01T10:56:27.128278image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
80 13
 
9.0%
71 10
 
6.9%
78 9
 
6.2%
79 8
 
5.6%
81 8
 
5.6%
76 8
 
5.6%
75 7
 
4.9%
73 7
 
4.9%
72 7
 
4.9%
77 7
 
4.9%
Other values (20) 60
41.7%
ValueCountFrequency (%)
61 1
 
0.7%
62 1
 
0.7%
65 3
 
2.1%
67 5
3.5%
68 2
 
1.4%
69 3
 
2.1%
70 5
3.5%
71 10
6.9%
72 7
4.9%
73 7
4.9%
ValueCountFrequency (%)
93 1
 
0.7%
92 2
 
1.4%
91 2
 
1.4%
90 2
 
1.4%
89 2
 
1.4%
88 1
 
0.7%
87 5
3.5%
86 6
4.2%
85 2
 
1.4%
84 4
2.8%

Ground_Temp
Real number (ℝ)

Distinct114
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.350694
Minimum-1.5
Maximum33.9
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)2.1%
Memory size6.3 KiB
2023-09-01T10:56:27.204666image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum-1.5
5-th percentile1.115
Q15.6
median15.85
Q324.925
95-th percentile29.925
Maximum33.9
Range35.4
Interquartile range (IQR)19.325

Descriptive statistics

Standard deviation10.251836
Coefficient of variation (CV)0.66784183
Kurtosis-1.3982999
Mean15.350694
Median Absolute Deviation (MAD)9.7
Skewness-0.021453104
Sum2210.5
Variance105.10014
MonotonicityNot monotonic
2023-09-01T10:56:27.279455image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 4
 
2.8%
1.2 3
 
2.1%
2.6 2
 
1.4%
29.3 2
 
1.4%
7 2
 
1.4%
1.5 2
 
1.4%
26.2 2
 
1.4%
28.1 2
 
1.4%
23.8 2
 
1.4%
17.6 2
 
1.4%
Other values (104) 121
84.0%
ValueCountFrequency (%)
-1.5 1
 
0.7%
-1.1 1
 
0.7%
-0.1 1
 
0.7%
0.1 1
 
0.7%
0.4 1
 
0.7%
0.5 1
 
0.7%
0.7 1
 
0.7%
1.1 1
 
0.7%
1.2 3
2.1%
1.5 2
1.4%
ValueCountFrequency (%)
33.9 1
0.7%
33.3 1
0.7%
32.5 1
0.7%
31.2 1
0.7%
30.7 1
0.7%
30.1 1
0.7%
30 2
1.4%
29.5 1
0.7%
29.3 2
1.4%
29.1 1
0.7%

Average_Wind
Real number (ℝ)

Distinct21
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1604167
Minimum1.1
Maximum3.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:56:27.349081image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1.1
5-th percentile1.6
Q11.9
median2.1
Q32.4
95-th percentile2.985
Maximum3.4
Range2.3
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.41732058
Coefficient of variation (CV)0.19316671
Kurtosis0.20114648
Mean2.1604167
Median Absolute Deviation (MAD)0.3
Skewness0.552001
Sum311.1
Variance0.17415647
MonotonicityNot monotonic
2023-09-01T10:56:27.413941image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1.9 18
12.5%
2.3 15
10.4%
1.7 13
9.0%
2.2 13
9.0%
1.8 11
 
7.6%
2 11
 
7.6%
2.1 11
 
7.6%
2.6 10
 
6.9%
2.4 7
 
4.9%
2.5 7
 
4.9%
Other values (11) 28
19.4%
ValueCountFrequency (%)
1.1 1
 
0.7%
1.5 4
 
2.8%
1.6 6
 
4.2%
1.7 13
9.0%
1.8 11
7.6%
1.9 18
12.5%
2 11
7.6%
2.1 11
7.6%
2.2 13
9.0%
2.3 15
10.4%
ValueCountFrequency (%)
3.4 1
 
0.7%
3.3 1
 
0.7%
3.2 1
 
0.7%
3.1 3
 
2.1%
3 2
 
1.4%
2.9 1
 
0.7%
2.8 1
 
0.7%
2.7 7
4.9%
2.6 10
6.9%
2.5 7
4.9%

Average_Pressure
Real number (ℝ)

Distinct99
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1013.9167
Minimum1003.3
Maximum1024.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.3 KiB
2023-09-01T10:56:27.485471image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1003.3
5-th percentile1003.86
Q11007.45
median1015.55
Q31019.9
95-th percentile1023.255
Maximum1024.9
Range21.6
Interquartile range (IQR)12.45

Descriptive statistics

Standard deviation6.77676
Coefficient of variation (CV)0.0066837445
Kurtosis-1.4232855
Mean1013.9167
Median Absolute Deviation (MAD)6.1
Skewness-0.10508625
Sum146004
Variance45.924476
MonotonicityNot monotonic
2023-09-01T10:56:27.574524image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1021.9 4
 
2.8%
1004.7 4
 
2.8%
1010.4 4
 
2.8%
1019.1 4
 
2.8%
1005.4 3
 
2.1%
1011.1 3
 
2.1%
1003.5 3
 
2.1%
1017.4 3
 
2.1%
1022.6 3
 
2.1%
1018 2
 
1.4%
Other values (89) 111
77.1%
ValueCountFrequency (%)
1003.3 1
 
0.7%
1003.5 3
2.1%
1003.6 1
 
0.7%
1003.7 1
 
0.7%
1003.8 2
1.4%
1004.2 2
1.4%
1004.4 1
 
0.7%
1004.5 2
1.4%
1004.7 4
2.8%
1004.8 1
 
0.7%
ValueCountFrequency (%)
1024.9 1
0.7%
1024.8 1
0.7%
1024.7 1
0.7%
1024 1
0.7%
1023.7 1
0.7%
1023.5 1
0.7%
1023.4 1
0.7%
1023.3 1
0.7%
1023 1
0.7%
1022.9 1
0.7%

Interactions

2023-09-01T10:56:21.682694image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:38.123544image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:40.133365image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:41.982249image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:44.285917image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:46.269973image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:48.389949image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:50.882481image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:52.694061image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:54.434646image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:56.118780image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:58.103829image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:59.734476image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:01.291356image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:02.891881image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:04.867957image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:06.600029image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:08.224249image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:09.824991image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:11.422487image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:13.136370image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:15.361295image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:17.066354image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:18.606344image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:20.176645image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:21.736609image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:38.261318image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:40.199140image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:42.058098image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:44.352387image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:46.339264image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:48.459158image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:50.971020image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:52.756072image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:54.501162image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:56.178362image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:58.164119image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:59.790516image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:01.358055image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:02.953099image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:04.934870image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:06.662341image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:08.281320image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:09.883233image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:11.488181image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:13.205841image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:15.432511image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:17.126872image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:18.664898image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:20.232067image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:21.790885image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:38.337611image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:40.259017image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:42.186163image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:44.419756image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:46.403629image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:48.578578image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:51.041935image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:52.815310image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:54.566313image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:56.238958image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:58.227302image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:59.847537image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:01.417200image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:03.010358image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:05.000447image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:06.723492image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:08.351080image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:09.940208image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:11.554975image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:13.265836image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:15.506623image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:17.184902image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:18.725328image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:20.286720image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:21.850965image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:38.424241image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:40.344736image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:42.258699image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:44.491607image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:46.490949image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:48.668844image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:51.114300image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:52.897532image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:54.635953image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:56.667248image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:58.294167image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:59.909503image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:01.478050image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:03.074230image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:05.068275image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:06.791332image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:08.416179image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:10.004553image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:11.622790image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:13.332876image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:15.598403image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:17.246894image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:18.788154image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:20.347449image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:21.915663image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:38.507869image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:40.436127image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:42.337323image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:44.576655image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:46.588844image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:48.776858image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:51.190044image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:52.973966image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:54.717757image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:56.735879image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:58.367161image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:59.976262image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:01.555065image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:03.141639image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:05.136981image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:06.861610image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:08.485400image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:10.079446image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:11.694512image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:13.402250image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:15.696925image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:17.313672image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:18.855330image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:20.412410image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:21.972708image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:38.582733image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:40.506203image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:42.405914image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:44.642530image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:46.689619image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:48.861060image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:51.253531image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:53.039607image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:54.786949image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:56.799328image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:58.429184image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:00.037909image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:01.612819image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:03.208564image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:05.198957image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:06.920660image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:08.543495image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:10.146281image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:11.755782image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:13.460200image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:15.766641image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:17.372544image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:18.912956image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:20.466966image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:22.030771image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:38.644313image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:40.584832image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:42.472572image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:44.711816image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:46.778026image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:48.940222image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:51.317462image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:53.106694image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:54.852329image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:56.864238image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:58.491522image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:00.096274image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:01.675128image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:03.266115image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:05.275476image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:06.993778image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:08.605064image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:10.208458image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:11.819500image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:13.536806image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:15.838624image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:17.432885image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:18.973598image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:20.523342image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:22.091635image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:38.731584image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:40.655239image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:42.921973image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:44.788212image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:46.865731image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:49.012101image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:51.384125image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:53.177891image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:54.921301image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:56.929806image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:58.561630image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:00.160729image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:01.739510image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:03.331234image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:05.352728image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:07.059339image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:08.669623image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:10.282014image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:11.887924image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:13.600496image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:15.913134image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:17.497199image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:19.037737image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:20.586267image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:22.153225image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:38.800657image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:40.720608image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:43.001692image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:44.859636image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:46.940125image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:49.494939image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:51.457880image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:53.247777image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:55.004974image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:56.997314image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:58.627305image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:00.224294image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:01.802957image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:03.396858image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:05.420042image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:07.122287image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:08.732954image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:10.344931image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:11.954565image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:13.665979image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:15.979926image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:17.559858image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:19.099749image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:20.654161image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:22.216150image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:38.871785image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:40.789187image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:43.086955image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:44.933788image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:47.025624image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:49.574899image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:51.535423image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:53.326226image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:55.084668image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:57.066350image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:58.692805image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:00.286236image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:01.866997image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:03.459234image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:05.488521image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:07.194840image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:08.797215image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:10.410009image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:12.030686image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:13.734896image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:16.050493image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:17.624192image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:19.163179image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:20.714785image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:22.275573image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:38.937706image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:40.853832image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:43.159091image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:45.001385image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:47.114675image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:49.660480image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:51.612634image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:53.399811image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:55.154279image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:57.128609image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:58.765063image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:00.347076image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:01.930922image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:03.521903image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:05.554904image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:07.260504image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:08.860021image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:10.478705image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:12.097320image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:13.796348image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:16.116428image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:17.686220image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:19.224031image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:20.777422image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:22.340067image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:39.023743image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:40.923027image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:43.247450image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:45.074911image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:47.267091image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:49.739910image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:51.691335image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:53.479350image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:55.225209image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:57.202882image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:58.833591image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:00.411165image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:01.994687image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:03.588041image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:05.638413image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:07.324974image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:08.936667image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:10.545859image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:12.164890image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:13.860928image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:16.182769image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:17.752784image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:19.293794image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:20.841873image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:22.395679image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:39.090100image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:40.985176image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:43.326471image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:45.162092image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:47.339802image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:49.838977image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:51.756685image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:53.552303image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:55.290394image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:57.264885image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:58.892616image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:00.468220image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:02.052588image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:03.645994image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:05.705497image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:07.386099image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:08.995065image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:10.604297image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:12.227020image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:13.918522image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:16.242355image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:17.813324image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:19.355922image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:20.896305image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:22.452934image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:39.158403image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:41.047355image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:43.401284image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:45.231911image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:47.408279image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:49.928368image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:51.829136image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:53.624518image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:55.351060image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:57.335650image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:58.954577image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:00.529190image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:02.111793image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:03.703322image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:05.767839image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:07.452134image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:09.056055image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:10.664569image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:12.301431image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:13.979293image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:16.299951image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:17.875293image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:19.418528image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:20.955256image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:22.511065image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:39.267940image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:41.112942image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:43.478252image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:45.300454image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:47.486237image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:49.999606image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:51.900694image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:53.700342image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:55.415572image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:57.393636image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:59.015270image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:00.588473image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:02.178459image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:03.759919image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:05.830544image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:07.527344image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:09.114882image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:10.722258image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:12.367311image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:14.038554image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:16.363791image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:17.933818image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:19.477191image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:21.013904image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:22.573449image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:39.357875image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:41.192722image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:43.554185image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:45.372067image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:47.575242image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:50.087096image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:51.976673image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:53.769725image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:55.484009image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:57.468094image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:59.085667image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:00.654637image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:02.242773image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:03.825140image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:05.896376image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:07.592428image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:09.180110image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:10.789313image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:12.446582image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:14.106609image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:16.430999image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:17.997755image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:19.544051image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:21.079443image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:22.630567image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:39.440612image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:41.258038image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:43.624481image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:45.463331image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:47.658186image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:50.156823image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:52.061087image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:53.831438image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:55.546627image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:57.528223image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:59.149891image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:00.713768image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:02.301772image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:03.884367image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:05.957720image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:07.649432image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:09.241377image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:10.851639image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:12.510987image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:14.170933image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:16.491907image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:18.056530image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:19.604501image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:21.137385image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:22.691445image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:39.517961image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:41.331384image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:43.697066image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:45.533247image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:47.733074image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:50.224035image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:52.134471image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:53.896748image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:55.609118image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:57.588514image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:59.212703image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:00.774883image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:02.365688image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:03.942571image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:06.022890image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:07.710815image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:09.300105image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:10.907657image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:12.573468image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:14.235240image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:16.554064image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:18.118556image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:19.664380image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:21.193335image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:22.749256image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:39.596884image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:41.393926image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:43.780761image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:45.606068image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:47.816522image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:50.317134image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:52.203471image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:53.962515image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:55.671754image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:57.651287image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:59.278725image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:00.842399image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:02.429582image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:04.003095image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:06.086110image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:07.779775image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:09.365399image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:10.966569image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:12.635930image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:14.856377image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:16.618456image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:18.175751image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:19.724382image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:21.251367image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:22.812895image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:39.676280image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:41.467529image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:43.862022image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:45.678946image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:47.899696image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:50.435835image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:52.285219image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:54.033594image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:55.737049image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:57.720108image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:59.347609image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:00.909830image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:02.497420image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:04.069304image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:06.155932image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:07.850542image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:09.429296image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:11.032685image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:12.708151image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:14.926524image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:16.690637image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:18.241568image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:19.790381image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:21.314897image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:22.871738image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:39.755681image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:41.532991image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:43.934186image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:45.769060image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:47.982395image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:50.503292image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:52.353764image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:54.097671image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:55.800835image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:57.783906image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:59.413008image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:00.970947image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:02.569159image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:04.129944image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:06.219745image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:07.915472image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:09.494582image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:11.098805image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:12.772830image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:15.012397image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:16.755481image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:18.302371image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:19.851914image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:21.376656image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:22.939849image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:39.821884image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:41.633664image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:44.005906image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:45.857759image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:48.070099image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:50.581380image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:52.426553image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:54.166517image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:55.866117image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:57.850224image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:59.480070image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:01.037541image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:02.631008image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:04.195324image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:06.313875image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:07.980607image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:09.557225image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:11.167145image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:12.864680image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:15.090517image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:16.820067image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:18.365557image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:19.927029image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:21.443688image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:23.011155image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:39.897673image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:41.737446image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:44.083867image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:45.950779image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:48.154083image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:50.650313image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:52.498829image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:54.233095image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:55.930587image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:57.914675image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:59.544932image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:01.101171image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:02.694936image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:04.260186image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:06.401001image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:08.042847image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:09.627300image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:11.234142image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:12.942335image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:15.158134image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:16.882252image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:18.425092image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:19.993414image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:21.504907image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:23.072386image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:39.981360image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:41.822574image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:44.154507image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:46.068614image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:48.225001image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:50.742208image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:52.566719image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:54.301180image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:55.993913image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:57.980331image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:59.611105image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:01.172090image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:02.767634image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:04.749270image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:06.468466image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:08.108599image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:09.690559image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:11.299897image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:13.010353image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:15.226485image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:16.945776image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:18.488472image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:20.058391image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:21.569286image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:23.131610image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:40.056530image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:41.909153image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:44.220614image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:46.155751image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:48.301053image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:50.815376image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:52.631915image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:54.370932image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:56.058362image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:58.044161image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:55:59.671843image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:01.231304image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:02.832908image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:04.809069image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:06.535486image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:08.166979image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:09.760608image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:11.363634image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:13.076023image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:15.297997image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:17.004936image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:18.547289image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:20.118986image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-09-01T10:56:21.627020image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Correlations

2023-09-01T10:56:27.678721image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100complex_areaannual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
water_supply1.000-0.3430.486-0.344-0.344-0.3420.1400.344-0.0110.291-0.0240.2760.315-0.1070.0420.3390.0140.3130.3230.1210.1220.1870.153-0.146-0.105
Total_Population-0.3431.0000.0350.9991.0001.000-0.544-0.9990.184-0.864-0.604-0.252-0.6040.605-0.747-0.989-0.473-0.985-0.993-0.081-0.0480.078-0.1040.292-0.004
Households0.4860.0351.0000.0100.0320.041-0.300-0.0190.101-0.017-0.2770.249-0.0720.202-0.117-0.039-0.046-0.009-0.019-0.012-0.0900.1250.0050.0130.011
Population_per_Households-0.3440.9990.0101.0000.9990.998-0.541-1.0000.181-0.864-0.603-0.262-0.6060.606-0.746-0.990-0.471-0.984-0.993-0.072-0.0340.086-0.0950.296-0.011
Male_Population-0.3441.0000.0320.9991.0001.000-0.542-0.9990.184-0.864-0.605-0.253-0.6050.606-0.747-0.989-0.472-0.985-0.993-0.080-0.0470.078-0.1030.293-0.005
Female_Population-0.3421.0000.0410.9981.0001.000-0.548-0.9990.184-0.863-0.606-0.251-0.6020.605-0.748-0.988-0.474-0.984-0.993-0.081-0.0480.077-0.1040.292-0.005
Male_Female_Ratio0.140-0.544-0.300-0.541-0.542-0.5481.0000.543-0.0790.4100.6770.4360.686-0.7860.3220.564-0.1650.5170.534-0.0140.058-0.251-0.005-0.1390.027
Population_aging_Ratio0.344-0.999-0.019-1.000-0.999-0.9990.5431.000-0.1830.8630.6050.2620.605-0.6060.7470.9890.4720.9840.9930.0780.040-0.0800.101-0.2970.008
Power_usage-0.0110.1840.1010.1810.1840.184-0.079-0.1831.000-0.245-0.196-0.009-0.0880.164-0.140-0.143-0.070-0.200-0.197-0.780-0.470-0.473-0.7750.2390.668
Num_of_Business0.291-0.864-0.017-0.864-0.864-0.8630.4100.863-0.2451.0000.5880.0960.371-0.4480.7210.8400.5570.8670.8660.1080.026-0.0110.133-0.315-0.012
Business_above_100-0.024-0.604-0.277-0.603-0.605-0.6060.6770.605-0.1960.5881.0000.2440.377-0.7420.4160.5820.1810.5870.6000.0920.069-0.1470.091-0.2280.002
complex_area0.276-0.2520.249-0.262-0.253-0.2510.4360.262-0.0090.0960.2441.0000.639-0.5250.0330.267-0.5400.2480.2510.1020.017-0.1400.086-0.065-0.056
annual_household_income0.315-0.604-0.072-0.606-0.605-0.6020.6860.605-0.0880.3710.3770.6391.000-0.7760.1750.664-0.3260.5680.5870.0170.027-0.2480.021-0.1240.001
High_School_Graduate_num-0.1070.6050.2020.6060.6060.605-0.786-0.6060.164-0.448-0.742-0.525-0.7761.000-0.224-0.6360.189-0.568-0.589-0.029-0.0180.280-0.0240.159-0.013
High_School_Graduate_ratio0.042-0.747-0.117-0.746-0.747-0.7480.3220.747-0.1400.7210.4160.0330.175-0.2241.0000.7060.5640.7690.7620.040-0.037-0.0290.060-0.2410.010
personal_expense0.339-0.989-0.039-0.990-0.989-0.9880.5640.989-0.1430.8400.5820.2670.664-0.6360.7061.0000.4450.9700.9810.0470.017-0.1080.072-0.2610.017
benefits_vs_personal_expense0.014-0.473-0.046-0.471-0.472-0.474-0.1650.472-0.0700.5570.181-0.540-0.3260.1890.5640.4451.0000.4870.4790.035-0.0090.1870.061-0.1570.021
employment_ratio0.313-0.985-0.009-0.984-0.985-0.9840.5170.984-0.2000.8670.5870.2480.568-0.5680.7690.9700.4871.0000.9970.1010.045-0.0720.124-0.286-0.014
employment_insurance_ratio0.323-0.993-0.019-0.993-0.993-0.9930.5340.993-0.1970.8660.6000.2510.587-0.5890.7620.9810.4790.9971.0000.0920.042-0.0850.116-0.285-0.007
Average_Temp0.121-0.081-0.012-0.072-0.080-0.081-0.0140.078-0.7800.1080.0920.1020.017-0.0290.0400.0470.0350.1010.0921.0000.6640.7120.991-0.043-0.915
Monthly_Rainfall0.122-0.048-0.090-0.034-0.047-0.0480.0580.040-0.4700.0260.0690.0170.027-0.018-0.0370.017-0.0090.0450.0420.6641.0000.6730.6310.046-0.643
Average_Relative_Humadity0.1870.0780.1250.0860.0780.077-0.251-0.080-0.473-0.011-0.147-0.140-0.2480.280-0.029-0.1080.187-0.072-0.0850.7120.6731.0000.701-0.124-0.669
Ground_Temp0.153-0.1040.005-0.095-0.103-0.104-0.0050.101-0.7750.1330.0910.0860.021-0.0240.0600.0720.0610.1240.1160.9910.6310.7011.000-0.034-0.921
Average_Wind-0.1460.2920.0130.2960.2930.292-0.139-0.2970.239-0.315-0.228-0.065-0.1240.159-0.241-0.261-0.157-0.286-0.285-0.0430.046-0.124-0.0341.000-0.194
Average_Pressure-0.105-0.0040.011-0.011-0.005-0.0050.0270.0080.668-0.0120.002-0.0560.001-0.0130.0100.0170.021-0.014-0.007-0.915-0.643-0.669-0.921-0.1941.000

Missing values

2023-09-01T10:56:23.231192image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
A simple visualization of nullity by column.
2023-09-01T10:56:23.425266image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100complex_areaannual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
date
2010-01-0119069.09677459969.026137.02.29441029606.030363.00.97506826.1112686000.01409.021.03540697.0510.0624.00.96744229425421.096.07305.00.121813-1.537.078.0-0.11.91021.9
2010-02-0119193.39285759965.026159.02.29232829599.030366.00.97474126.1103792000.01538.023.03540697.0510.0624.00.96744229425421.096.07529.00.1255572.592.574.02.92.21018.7
2010-03-0117342.41935559905.026194.02.28697429551.030354.00.97354526.2102313000.01761.024.03540697.0510.0624.00.96744229425421.096.08011.00.1337285.563.875.06.73.11017.7
2010-04-0116664.60000059848.026209.02.28349029501.030347.00.97212226.3103778000.01962.027.03540697.0510.0624.00.96744229425421.096.08192.00.1368809.568.471.011.33.01015.8
2010-05-0117793.19354859831.026186.02.28484729503.030328.00.97279726.389122000.01662.024.03540697.0510.0624.00.96744229425421.096.08117.00.13566516.6132.879.019.32.61008.6
2010-06-0117572.66666759860.026250.02.28038129516.030344.00.97271326.486189000.01813.024.03737602.0510.0624.00.96744229425421.096.08039.00.13429722.018.981.027.12.01007.0
2010-07-0117558.54838759819.026252.02.27864529478.030341.00.97155726.486934000.01468.026.03737602.0510.0624.00.96744229425421.096.07978.00.13336925.6375.686.027.32.41005.3
2010-08-0117084.38709759775.026261.02.27618929465.030310.00.97212126.589489000.01542.025.03737602.0510.0624.00.96744229425421.096.07852.00.13135927.3362.387.029.12.21007.7
2010-09-0117830.50000059733.026259.02.27476329476.030257.00.97418826.591518000.01593.025.03737602.0510.0624.00.96744229425421.096.07865.00.13166922.6144.983.024.62.11010.8
2010-10-0117749.87096860205.026755.02.25023429699.030506.00.97354626.491608000.01692.025.03737602.0510.0624.00.96744229425421.096.07939.00.13186614.98.875.016.41.91016.5
water_supplyTotal_PopulationHouseholdsPopulation_per_HouseholdsMale_PopulationFemale_PopulationMale_Female_RatioPopulation_aging_RatioPower_usageNum_of_BusinessBusiness_above_100complex_areaannual_household_incomeHigh_School_Graduate_numHigh_School_Graduate_ratiopersonal_expensebenefits_vs_personal_expenseemployment_ratioemployment_insurance_ratioAverage_TempMonthly_RainfallAverage_Relative_HumadityGround_TempAverage_WindAverage_Pressure
date
2021-03-0121338.03225851361.026634.01.92840025385.025976.00.97724837.2120088634.02756.027.03750150.0891.0426.01.10937550352167.0109.012329.00.2400468.391.976.010.21.81017.1
2021-04-0122383.93333351289.026633.01.92576925323.025966.00.97523737.3104802240.02870.028.03750150.0891.0426.01.10937550352167.0109.012323.00.24026613.343.965.015.92.31015.7
2021-05-0122193.80645251274.026700.01.92037525321.025953.00.97564837.485019930.02917.028.03750150.0891.0426.01.10937550352167.0109.012435.00.24252116.6137.075.019.32.61006.9
2021-06-0122918.60000051153.026662.01.91857325270.025883.00.97631737.582789762.02935.031.03750265.0891.0426.01.10937550352167.0109.012435.00.24309422.198.880.026.12.11005.1
2021-07-0124659.64516151072.026663.01.91546325223.025849.00.97578237.684905809.02711.029.03750265.0891.0426.01.10937550352167.0109.012665.00.24798326.6251.384.031.21.81005.4
2021-08-0124706.25806551036.026665.01.91397025203.025833.00.97561337.684771132.02560.029.03750265.0891.0426.01.10937550352167.0109.012509.00.24510125.5218.383.030.01.71005.6
2021-09-0123803.50000050968.026668.01.91120425168.025800.00.97550437.884775402.02555.030.03750265.0891.0426.01.10937550352167.0109.012677.00.24872522.3138.881.025.01.81010.4
2021-10-0122714.80645250884.026676.01.90748225136.025748.00.97623137.985953412.02538.029.03750265.0891.0426.01.10937550352167.0109.012727.00.25011816.032.779.018.81.51018.6
2021-11-0123066.13333350798.026629.01.90762025078.025720.00.97503938.091797984.02657.030.03750265.0891.0426.01.10937550352167.0109.012956.00.2550499.681.978.010.92.11017.4
2021-12-0122527.45161350745.026646.01.90441325081.025664.00.97728338.1107831680.02885.030.03757892.0891.0426.01.10937550352167.0109.012381.00.2439853.114.570.04.22.31022.7